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Traffic Simulation with Aimsun

  • Jordi Casas
  • Jaime L. Ferrer
  • David Garcia
  • Josep Perarnau
  • Alex Torday
Chapter
Part of the International Series in Operations Research & Management Science book series (ISOR, volume 145)

Abstract

This chapter is dedicated to the Aimsun transport simulation software, with particular emphasis on its dynamic simulation capabilities. The main topics discussed are the modelling of section dynamics using microscopic and mesoscopic approaches, and algorithms for solving the dynamic traffic assignment problem. The introductory section provides background information together with a discussion of the development principles behind Aimsun: integration, modularity, scalability, interoperability, and extensibility. Section 5.1 provides an overview of the project development process covering model building, verification, calibration and validation, and analysis of outputs. Section 5.3 outlines the logic of the microscopic and mesoscopic simulation processes along with information about the behavioural models at each level. Solving the dynamic traffic assignment problem using Aimsun is the focus of Section 5.4. We cover three different methods for tackling the problem, based on dynamic user equilibrium (DUE) and stochastic route choice models with and without memory. In Section 5.5 we turn to the subject of calibration and validation of Aimsun models. This section describes different Aimsun tools which can be used for verification and validation, and provides guidelines or examples relating to the calibration of behavioural models and dynamic traffic assignment algorithms. Section 5.6 looks at the methods that can be used to extend Aimsun’s modelling capabilities. It covers both working with external applications and the use of various programming tools. Α selection of advanced case studies and applications is the focus of Section 5.7. It describes how Aimsun has been used to solve transportation engineering problems with reference to three real-world examples.In the final section, we describe Aimsun Online and discuss its implementation in Madrid as an advanced case study. In the latter part of the section, we comment on some challenges related to such applications and the development needs that such projects give rise to.

Keywords

Route Choice Traffic Assignment Lane Change Intelligent Transport System Dynamic Traffic Assignment 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgment

The authors and the rest of the staff at TSS – Transport Simulation Systems – would like to express their sincere gratitude to Professor Jaume Barceló at the Technical University of Catalonia (UPC) for his numerous and varied contributions to the inception, design and evolution of Aimsun over the years. This chapter would exist without him.

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Copyright information

© Springer Science+Business Media, LLC 2010

Authors and Affiliations

  • Jordi Casas
    • 1
    • 2
  • Jaime L. Ferrer
    • 1
  • David Garcia
    • 1
  • Josep Perarnau
    • 1
  • Alex Torday
    • 1
  1. 1.TSS – Transport Simulation SystemsBarcelonaSpain
  2. 2.Universitat de VicVicSpain

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